TABLE 4.

The Bias, empirical standard error (SE) and relative efficiency (RE) of the TIPW estimator, the proposed AIPW estimator, the nonparametric method based estimator (NP) and the CLR based estimator (CLR). For the proposed AIPW estimator, we also calculated the average of the estimated standard error (ASE), empirical coverage probabilities (CP) of the 95% CIs (×100).

		Bias				SE				RE				AIPW
	true	TIPW	AIPW	NP	CLR	TIPW	AIPW	NP	CLR	TIPW	AIPW	NP	CLR	ASE	CP
${\overline{\gamma }}_1$	0.693	0.022	0.053	0.006	0.022	0.122	0.103	0.106	0.108	1.000	1.152	1.372	1.275	0.105	93.5
${\overline{\gamma }}_2$	1.099	−0.062	−0.008	−0.027	0.043	0.116	0.087	0.085	0.193	1.000	2.245	2.146	0.440	0.093	94.9
TPR	0.457	−0.044	−0.009	−0.036		0.047	0.038	0.043		1.000	2.623	1.305		0.038	91.5
PPV	0.163	0.004	−0.002	0.002		0.022	0.016	0.020		1.000	1.866	1.291		0.016	94.9
NPV	0.988	−0.003	−0.000	−0.002		0.002	0.001	0.002		1.000	8.090	1.539		0.001	95.9
TPR	0.601	−0.049	−0.008	−0.039		0.045	0.034	0.038		1.000	3.471	1.465		0.036	93.3
PPV	0.113	0.005	−0.000	0.004		0.014	0.010	0.012		1.000	2.334	1.446		0.010	95.9
NPV	0.991	−0.003	−0.001	−0.002		0.002	0.001	0.001		1.000	8.275	1.503		0.001	95.1
TPR	0.757	−0.047	−0.005	−0.035		0.037	0.028	0.031		1.000	4.325	1.631		0.031	96.1
PPV	0.075	0.005	−0.001	0.003		0.008	0.006	0.007		1.000	2.804	1.482		0.006	96.7
NPV	0.994	−0.003	−0.001	−0.002		0.001	0.001	0.001		1.000	8.069	1.548		0.001	93.3